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  • 标题:A Survey on Nearest Keyword Set Search in Multi-Dimensional Datasets
  • 本地全文:下载
  • 作者:Twinkle Pardeshi ; Prof. Pradnyakulkarni
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2017
  • 卷号:6
  • 期号:10
  • 页码:19734
  • DOI:10.15680/IJIRSET.2017.0610100
  • 出版社:S&S Publications
  • 摘要:A spatial database is a database that store data that represents objects defined in a geometric space. Thispaper considers that objects are tagged with keyword and are embedded in a vector space. Due to growing data, NearestKeyword Set(NKS) queries are used in many applications. These queries are studied that retrieves the tightest groups ofpoints that contains a given set of keywords. Various methods for fast processing of queries are been studied.
  • 关键词:Querying; Multi-dimensional data; Indexing; Hashing; Nearest Keyword Set (NKS).
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